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Classification of Patients Complaining of Sick House Syndrome and/or Multiple Chemical Sensitivity

Overview of attention for article published in Tohoku Journal of Experimental Medicine, January 2007
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#47 of 1,104)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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1 news outlet
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2 X users

Citations

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16 Dimensions

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19 Mendeley
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Title
Classification of Patients Complaining of Sick House Syndrome and/or Multiple Chemical Sensitivity
Published in
Tohoku Journal of Experimental Medicine, January 2007
DOI 10.1620/tjem.211.223
Pubmed ID
Authors

Mio Ishibashi, Hideki Tonori, Takeo Miki, Eriko Miyajima, Yasushi Kudo, Masashi Tsunoda, Kou Sakabe, Yoshiharu Aizawa

Abstract

Sick house syndrome (SHS) is a Japanese concept derived from sick building syndrome (SBS), however SHS includes a broader scope of sickness than does SBS. Symptoms of SHS/SBS disappear after leaving the sick house/building, while symptoms of multiple chemical sensitivity (MCS) are elicited by the chance of chemical exposure after leaving the sick house/building. To establish the concept of SHS, we propose to introduce a new classification for SHS. A total of 214 patients complaining of SHS and/or MCS were independently classified using a new classification by clinical ecologists who are experienced physicians with expert knowledge of clinical ecology and general physicians according to disease pathogenesis from clinical records. The classification is as follows: type 1 (symptoms of chemical intoxication), type 2 (symptoms developed possibly due to chemical exposure), type 3 (symptoms developed not because of chemical exposure but rather because of psychological or mental factors), and type 4 (symptoms developed due to allergies or other diseases). The agreements on the classification made by clinical ecologists and general physicians reached 77.1% (Cohen's kappa=0.631), suggesting that this new classification was both apt and accurate. Relations between SHS and allergy/MCS were also studied. The cases classified as SHS type 4 more frequently had allergic past histories than did other types. The proportion of possible MCS cases was higher in the chemical induced SHS group (types 1 and 2) than in other types among male patients. For the universal use in clinical practice, it is necessary to prepare helpful diagnostic criteria of this SHS classification based on pathogenesis and carry our study forward all over the country.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 16%
Other 2 11%
Student > Ph. D. Student 2 11%
Student > Master 2 11%
Student > Bachelor 1 5%
Other 5 26%
Unknown 4 21%
Readers by discipline Count As %
Medicine and Dentistry 6 32%
Environmental Science 2 11%
Psychology 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Computer Science 1 5%
Other 3 16%
Unknown 4 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 June 2020.
All research outputs
#2,655,585
of 25,373,627 outputs
Outputs from Tohoku Journal of Experimental Medicine
#47
of 1,104 outputs
Outputs of similar age
#8,846
of 168,346 outputs
Outputs of similar age from Tohoku Journal of Experimental Medicine
#1
of 22 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 95% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 168,346 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.